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    Statistics on changes in forest management in Canada in 2017 and 2020. This page provides statistics on forest management in Canada in 2017 and 2020 and is part of the Story Map of Forest Management in Canada, 2020. **This third party metadata element was translated using an automated translation tool (Amazon Translate).**

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    The name, location, hours of operation and contact information for flu shot clinics in the province. The dataset does not contain Public Health Units or your local health care provider's office, which also offer the flu shot. Data is updated each morning and is provided in JSON format. [Learn more about the flu](https://www.ontario.ca/page/flu-facts) *[JSON]: JavaScript Object Notation

  • Categories  

    Forest Management in Canada 2020 Vector Tile Layer This vector tile layer is used in the Story Map of Forest Management in Canada, 2020.

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    Insights workbook of Forest Management Change in Canada, 2017 and 2020 Insights workbook of Forest Management Change in Canada, 2017 and 2020. This data is part of the Story Map of Forest Management in Canada, 2020 (Aménagement des forêts au Canada, 2020).

  • Categories  

    Forest Management Change in Canada 2017 and 2020 statistics. This Insights page provides Forest Management statistics in Canada in 2017 and 2020 and is part of the Story Map of Forest Management in Canada, 2020 (Aménagement des forêts au Canada, 2020).

  • Categories  

    Workbook on forest management changes in Canada, 2017 and 2020 Workbook on forest management changes in Canada, 2017 and 2020. This is part of the Forest Management in Canada, 2020 (Story Map of Forest Management in Canada, 2020). **This third party metadata element was translated using an automated translation tool (Amazon Translate).**

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    Vector tile layer of waterbody contours in Manitoba - includes labels

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    This catalog contains annual 30 m spatial resolution snow dynamics metrics for each snow-year from 2018-2019 to 2023-2024 for all of Canada. We gather all Landsat and Sentinel-2 images collected over Canada and identify the status of each pixel observation on the image collection date: snow (and ice), non-snow (i.e., land, water), unclear (i.e., clouds, shadows). We built an algorithm to calculate snow cover metrics for each pixel during each winter: start date of the first (and biggest) snow period [startF, startB], end date of the last (and biggest) snow period [endL, endB], number of days with snow cover in total (or in the biggest snow period) [lengthT, lengthB], number of snow periods (i.e., separated times with multiple confirmed snow observations) [periods], and a status classification (e.g., continuous snow, snow free) [status]. We do not obtain a clear observation every day because of satellite orbit frequencies and clouds. This means that timing-based metrics are identified by the middle date between two clear observations, with uncertainty quantified as half the length of the gap (i.e., ± days) [startF_u, startB_u, endL_u, endB_u, lengthT_u, lengthB_u].

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    Information on the nature, duration and obstacles caused by ongoing work on major projects on the City of Montreal's road network.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

  • Categories  

    This layer of information shows all the summer trails offered in establishments managed by Sépaq.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**